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Imagine personalised health assistance that is omnipresent and continuously available to everyone while being intelligible – we are working to realise this vision.

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Extremely low-power sensing systems need to minimise their sensor sampling and data processing. Can we do better than state-of-the-art in sub-Nyquist sampling and compressive sensing? Yes, we can! Our new paper Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems presents a c...